Linda Geerligs

TL;DR: The results show that aging has a large impact on connectivity within functional networks but also on connectivity between the different functional networks in the brain, and a brain-wide analysis approach seems fundamental in understanding how age affects integration of information.

TL;DR: The results show that studying individual differences within one state uncovers only part of the relevant individual differences in brain function, and that the study of functional connectivity under multiple mental states is essential to disentangle connectivity differences that are transient versus those that represent more stable, trait-like characteristics of an individual.

TL;DR: Using functional magnetic resonance imaging, it was found that compared with young participants, elderly showed a decrease in connectivity between areas belonging to the same functional network, and this was found in the default mode network and the somatomotor network.

TL;DR: The relationship between network connectivity and cognitive function was age-dependent: cognitive performance relied on neural dynamics more strongly in older adults, driven partly by reduced stability of neural activity within all networks, as expressed by an accelerated decay of neural information.

TL;DR: It is shown that analysis choices have a dramatic impact on connectivity differences between individuals, ultimately affecting the associations found between connectivity and cognition, and a number of ways to optimize analysis choices are suggested.